High-performance computing (HPC) cluster, specifically tailored to meet the demands of cutting-edge research.
The SMU NVIDIA DGX SuperPOD Advantage is a high-performance computing (HPC) cluster, specifically tailored to meet the demands of cutting-edge research.
This shared resource machine consists of 20 NVIDIA DGX A100 nodes, each with 8 advanced and powerful graphical processing units (GPUs) to accelerate calculations and train AI models. The SMU Office of Information Technology (OIT) and the O'Donnell Data Science and Research Computing Institute (ODSRCI) jointly manage and provide both access and support for this top of the line machine.
If you are interested in learning more about how this machine can help your research, please reach out to the OIT Research Technology Services group via help@smu.edu with [HPC] on the subject line.
| Computational Ability | 1,644 TFLOPS |
| Number of Nodes | 20 |
| CPU Cores | 2,560 |
| GPU Accelerator Cores | 1,392,640 |
| Total Memory | 52.5 TB |
| Node Interconnect Bandwidth | 10 - 200 Gb/s Infiniband Connections Per Node |
| Work Storage | 3.5 PB (Shared) |
| Scratch Storage | 750 TB (Raw) |
| Archival Storage | N/A |
| Operating System | Ubuntu 22.04 |
Over the past year, OIT worked tirelessly to obtain, install, and configure one of the most powerful computing platforms in the United States geared specifically towards artificial intelligence research. Today, we introduce you to the NVIDIA DGX SuperPOD™.